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  1. 12 cze 2020 · The Mahalanobis distance is the distance between two points in a multivariate space. It’s often used to find outliers in statistical analyses that involve several variables. This tutorial explains how to calculate the Mahalanobis distance in SPSS.

  2. 17 sty 2023 · The Mahalanobis distance is the distance between two points in a multivariate space. It’s often used to find outliers in statistical analyses that involve several variables. This tutorial explains how to calculate the Mahalanobis distance in SPSS.

  3. You can calculate the length of a path, running route, fence, border, or the perimeter of any object that appears on a google map. The distance calculator will then display a measurement of the length in feet, meters, miles and kilometers.

  4. www.ibm.com › docs › enDistances - IBM

    This procedure calculates any of a wide variety of statistics measuring either similarities or dissimilarities (distances), either between pairs of variables or between pairs of cases.

  5. Simply enter any desired location into the search function and you will get the shortest distance (air line) between the points, the route (route planner) as well as all important information. Of course, you can also determine distances between coordinates (latitude / longitude).

  6. statistics.laerd.com › spss-tutorials › one-way-manova-using-spss-statisticsOne-way MANOVA in SPSS Statistics - Laerd

    In our enhanced one-way MANOVA guide, we show you how to: (1) detect univariate outliers using boxplots, which you can do using SPSS Statistics, and discuss some of the options you have in order to deal with outliers; and (2) check for multivariate outliers using a measure called Mahalanobis distance, which you can also do using SPSS Statistics ...

  7. statistics.laerd.com › spss-tutorials › two-way-manova-using-spss-statisticsTwo-way MANOVA in SPSS Statistics - Laerd

    Step-by-step instructions on how to perform a two-way MANOVA in SPSS Statistics using a relevant example. The procedure, assumptions and output are all included.